Disclosed herein is a system to smoothly change the focus of a camera between multiple targets. The system can obtain an indication of a target, an indication of a manner of focus transition between a first target and a second target, and camera settings. The system can determine a point associated with the second target, where the point has a property that focusing the camera on the point places the second target in focus, and the point is closer to the current focus point of the camera than a substantial portion of other points having the property. The system can obtain a nonlinear function indicating a second manner of focus transition between the first target and the second target. The system can change the focus of the camera between the first target and the second target by changing the focus of the camera from the current focus point to the determined point based on the nonlinear function.
Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A method to change a focus of a computer graphics (CG) camera between multiple target objects, the method comprising: obtaining an indication of a first target object and a second target object among the multiple target objects, an indication of a first manner of focus transition between the first target object and the second target object among the multiple target objects, and the CG camera setting, wherein the CG camera is configured to transition the focus from the first target object to the second target object, and wherein the CG camera setting includes a current focus point of the CG camera and a region of acceptable focus; determining a point associated with the second target object and within the region of acceptable focus, wherein the point has a property that focusing the CG camera on the point causes the second target object to be in focus, wherein the point associated with the second target object is closer to the current focus point of the CG camera than a majority of other points having the property; obtaining a nonlinear function indicating a second manner of focus transition between the first target object and the second target object; and changing the focus of the CG camera between the first target object and the second target object by changing the focus of the CG camera from the current focus point to the point based on the nonlinear function.
This invention relates to computer graphics (CG) camera systems for smoothly transitioning focus between multiple target objects in a scene. The problem addressed is the need for precise and visually appealing focus transitions in CG environments, where abrupt or unnatural focus changes can disrupt the viewing experience. The method involves dynamically adjusting the camera's focus point based on predefined target objects and transition parameters. The process begins by identifying two target objects and a specified manner of focus transition between them. The camera's current focus point and an acceptable focus region are also considered. The system then determines a specific point on the second target object that lies within the acceptable focus region, ensuring the second object will be in focus when the camera shifts to this point. This point is selected to be as close as possible to the current focus point to minimize abrupt changes. Additionally, a nonlinear function is used to define the transition path, allowing for smooth, non-linear adjustments in focus rather than linear or abrupt shifts. By applying the nonlinear function, the camera's focus transitions from the first target object to the second in a controlled manner, maintaining visual coherence and avoiding jarring shifts. This approach is particularly useful in applications requiring dynamic focus adjustments, such as virtual reality, film production, or interactive simulations.
2. The method of claim 1 , wherein the determining the point associated with the second target object comprises: determining the region of acceptable focus associated with the second target object, wherein the region of acceptable focus is a region between a nearest object and a farthest object that are within an acceptable focus in an image formed by the CG camera, wherein the region of acceptable focus indicates a near distance to the CG camera and a far distance to the CG camera, wherein when a focus point of the CG camera is between the near distance and the far distance, an object located between the near distance and the far distance is in focus; and determining the point between the near distance and the far distance substantially closest to the current focus point of the CG camera.
This invention relates to computer-generated (CG) camera systems, specifically focusing on methods for determining optimal focus points for capturing images of multiple target objects. The problem addressed is ensuring that objects within a scene are captured with acceptable focus, particularly when multiple objects are at varying distances from the camera. The method involves determining a region of acceptable focus for a second target object, which is defined as the range between the nearest and farthest objects that can be captured in focus by the CG camera. This region is characterized by a near distance and a far distance from the camera. The method then selects a focus point within this region that is closest to the current focus point of the CG camera, ensuring minimal adjustment while maintaining acceptable focus for the second target object. This approach optimizes focus settings to balance clarity and computational efficiency in CG imaging systems. The technique is particularly useful in applications requiring dynamic focus adjustments, such as virtual reality, film production, or real-time rendering.
3. The method of claim 1 , comprising: for a target object among the multiple target objects performing: creating a first distance, a second distance, and an exact distance, wherein the first distance and the second distance indicate region within which a focus point of the CG camera can lie and have the target object in focus, wherein the exact distance indicates a distance between the current focus point of the CG camera and the target object; and updating which of the first distance, the second distance, and the exact distance are closest to the current focus point of the CG camera.
This invention relates to computer-generated (CG) camera focusing techniques, specifically for determining optimal focus distances for multiple target objects in a scene. The problem addressed is the need to efficiently track and adjust focus points in CG environments where multiple objects may require focus, ensuring sharp rendering while minimizing computational overhead. The method involves analyzing a target object among multiple objects in a scene. For each target, three distances are calculated: a first distance, a second distance, and an exact distance. The first and second distances define a region where the CG camera's focus point can be positioned while keeping the target object in focus. These distances represent acceptable focus ranges rather than precise focal points. The exact distance measures the precise distance between the current focus point of the CG camera and the target object. The method then updates which of these three distances (first, second, or exact) is closest to the current focus point of the CG camera. This allows the system to dynamically adjust focus based on proximity, ensuring efficient focus management without requiring constant recalibration. The technique is particularly useful in real-time rendering applications where multiple objects may compete for focus, such as in virtual reality, gaming, or film production. The approach reduces computational complexity by avoiding unnecessary recalculations while maintaining accurate focus tracking.
4. The method of claim 1 , comprising: obtaining an indication of a physical camera lens; retrieving the nonlinear function representing focus behavior of the physical camera lens; and using the nonlinear function to change the focus of the CG camera.
This invention relates to computer-generated (CG) imaging systems that simulate the behavior of physical camera lenses. The problem addressed is the difficulty in accurately replicating the nonlinear focus characteristics of real-world camera lenses in digital environments, which can lead to unrealistic or inconsistent visual results. The solution involves obtaining an indication of a specific physical camera lens, such as its model or specifications, and retrieving a predefined nonlinear function that mathematically represents the focus behavior of that lens. This function accounts for variations in focus distance, aperture, and other optical properties that deviate from idealized linear models. The retrieved nonlinear function is then applied to adjust the focus settings of a CG camera, ensuring that the digital simulation closely matches the optical performance of the physical lens. This approach enables more realistic rendering in film, animation, and virtual production workflows by accurately modeling the unique characteristics of different lenses. The method may also include additional steps such as calibrating the function based on environmental factors or user preferences to further refine the simulation.
5. The method of claim 1 , comprising: receiving an input indicating a magnitude of contribution of the point to changing the focus of the CG camera, wherein the magnitude can indicate to partially use the point; and changing the focus of the CG camera between the first target object and the second target object by changing the focus of the CG camera from the current focus point to the point associated with the second target object, based on the nonlinear function and the magnitude.
This invention relates to computer-generated (CG) camera focus control in digital media, addressing the challenge of smoothly transitioning focus between multiple target objects in a scene. The method involves dynamically adjusting the camera's focus point based on a nonlinear function and a user-defined magnitude of contribution, allowing for partial or full focus shifts. The system first establishes a current focus point on a first target object and a secondary point associated with a second target object. When a focus transition is initiated, the method receives an input specifying the magnitude of contribution of the secondary point to the focus change. This magnitude determines how much the secondary point influences the focus shift, enabling partial or complete transitions. The focus is then adjusted from the current point to the secondary point using a nonlinear function, which ensures smooth, controlled transitions rather than abrupt changes. This approach enhances visual realism and user control in CG camera operations, particularly in applications like film production, gaming, and virtual reality.
6. The method of claim 1 , comprising: receiving a user input indicating a magnitude of contribution of the nonlinear function to changing the focus of the CG camera, wherein the magnitude can indicate to partially use the nonlinear function; and changing the focus of the CG camera between the first target object and the second target object by changing the focus of the CG camera from the current focus point to the point associated with the second target object based on the magnitude of contribution of the nonlinear function.
This invention relates to computer-generated (CG) camera focus control, specifically addressing the challenge of smoothly transitioning focus between multiple target objects in a scene. The method involves dynamically adjusting the focus of a CG camera based on a nonlinear function, which allows for more natural and controlled focus transitions compared to linear interpolation. The nonlinear function can be partially applied, enabling fine-tuned control over the focus shift. The method begins by receiving a user input that specifies the magnitude of contribution of the nonlinear function to the focus transition. This magnitude determines how much the nonlinear function influences the focus change, allowing for partial application if desired. The focus of the CG camera is then adjusted from its current focus point to a new focus point associated with a second target object, with the transition governed by the specified magnitude of the nonlinear function. This approach ensures that the focus shift is smooth and visually appealing, particularly in scenes where multiple objects require attention. The nonlinear function can be any mathematical function that provides a non-linear relationship between input and output, such as a sigmoid or exponential function. By adjusting the contribution of this function, the method allows for precise control over the focus transition, making it suitable for applications in film, gaming, and virtual reality where realistic camera behavior is critical. The invention improves upon traditional linear focus transitions by offering more flexibility and natural-looking results.
7. The method of claim 1 , wherein the nonlinear function comprises an indication of an animation associated with the second manner of focus transition between the first target object and the second target object.
This invention relates to user interface systems for managing focus transitions between objects in a graphical environment, particularly in applications like virtual reality (VR) or augmented reality (AR). The problem addressed is the need for intuitive and visually engaging focus transitions that enhance user experience without causing disorientation or confusion. The method involves dynamically adjusting the manner in which focus shifts between a first target object and a second target object in a graphical display. The focus transition is controlled by a nonlinear function that determines the path, speed, or style of the transition. The nonlinear function includes an indication of an animation associated with the second manner of focus transition, ensuring that the transition is not only smooth but also visually coherent with the context of the objects involved. For example, if the first object is a button and the second is a menu, the transition animation might simulate a natural motion, such as a sliding or fading effect, to maintain user engagement and clarity. The system may also incorporate user input or contextual data to further refine the transition, ensuring adaptability to different scenarios. The goal is to provide a seamless and immersive experience by customizing focus transitions based on the objects' properties and the user's interaction patterns. This approach improves usability in complex graphical environments where multiple objects compete for attention.
8. The method of claim 1 , comprising: obtaining the nonlinear function substantially inversely proportional to a distance between the CG camera and the current focus point and indicating the second manner of focus transition between the first target object and the second target object.
This invention relates to computer graphics (CG) camera systems and addresses the challenge of smoothly transitioning focus between multiple objects in a 3D scene. The method involves dynamically adjusting the focus transition based on the distance between the CG camera and the current focus point. A nonlinear function, inversely proportional to this distance, determines the manner of focus transition between a first target object and a second target object. This ensures that focus shifts appear natural and visually coherent, particularly in scenes where objects are at varying depths. The nonlinear function may include parameters that control the rate or style of the transition, such as exponential or logarithmic scaling, to enhance realism. The method may also incorporate additional factors like object size, motion, or user-defined preferences to refine the focus behavior. By dynamically adjusting the focus transition in this way, the system improves visual continuity and user experience in CG environments, such as virtual reality, gaming, or animation. The invention builds on a broader method for managing focus transitions in CG scenes, ensuring smooth and context-aware adjustments between multiple focal points.
9. The method of claim 1 , comprising: obtaining the nonlinear function substantially inversely proportional to a square root of a distance between the CG camera and the current focus point and indicating the second manner of focus transition between the first target object and the second target object.
This invention relates to camera focus control systems, specifically addressing the challenge of smoothly transitioning focus between multiple objects in a scene. The method involves determining a nonlinear function that is substantially inversely proportional to the square root of the distance between a camera's center of gravity (CG) and a current focus point. This function is used to define a second manner of focus transition between a first target object and a second target object, distinct from a first manner of focus transition. The first manner of focus transition may involve a linear or predefined focus adjustment, while the second manner introduces a dynamic, distance-dependent focus shift. The nonlinear function ensures that the focus transition adapts to the spatial relationship between the camera and the objects, optimizing focus speed and smoothness. The method may also include calculating a focus adjustment rate based on the nonlinear function and applying this rate to transition focus between the objects. This approach improves focus accuracy and user experience in applications such as photography, videography, or augmented reality, where rapid and precise focus adjustments are critical.
10. At least one non-transitory computer-readable storage medium carrying instructions, which, when executed by at least one data processor of a system, cause the system to: obtain an indication of a first target object and a second target object, an indication of a first manner of focus transition between the first target object and the second target object, and a camera setting, wherein the camera is configured to transition a focus of the camera from the first target object to the second target object, and wherein the camera setting includes a current focus point of the camera; determine a point associated with the second target object, wherein the point has a property that focusing the camera on the point causes the second target object to be in focus, wherein the point associated with the second target object is closer to the current focus point of the camera than a majority of other points having the property; obtain a nonlinear function indicating a second manner of focus transition between the first target object and the second target object; and change the focus of the camera between the first target object and the second target object by changing the focus of the camera from the current focus point to the point based on the nonlinear function.
This invention relates to camera focus control systems, specifically improving focus transitions between multiple target objects. The problem addressed is the need for smooth, efficient focus transitions in imaging systems, particularly when transitioning between objects at different distances. Traditional linear focus transitions may be slow or unnatural, especially when objects are far apart. The system obtains indications of two target objects and a desired focus transition manner between them, along with current camera settings including the current focus point. It determines a specific point associated with the second target object that ensures the object is in focus, selecting a point closest to the current focus point to minimize transition distance. A nonlinear function defines the focus transition path, allowing for smoother or more natural movements than linear transitions. The system then adjusts the camera focus from the current point to the selected point using this nonlinear function, optimizing both speed and smoothness. This approach reduces abrupt focus changes and improves user experience in applications like photography, videography, or surveillance. The invention may be implemented in software stored on a non-transitory computer-readable medium, executed by a data processor to control camera focus adjustments.
11. The non-transitory computer-readable storage medium of claim 10 , the instructions to determine the point associated with the second target object cause the system to: determine a region of acceptable focus associated with the second target object, wherein the region of acceptable focus is a region between a nearest object and a farthest object that are within an acceptable focus in an image formed by the camera, wherein the region of acceptable focus indicates a near distance to the camera and a far distance to the camera, wherein when a focus point of the camera is between the near distance and the far distance, an object located between the near distance and the far distance is in focus; and determine the point between the near distance and the far distance substantially closest to the current focus point of the camera.
This invention relates to computer vision systems for determining optimal focus points in imaging applications. The problem addressed is ensuring that a target object is captured in focus by a camera, particularly when multiple objects at varying distances are present in the scene. The system analyzes the region of acceptable focus for a second target object, which is defined as the range between the nearest and farthest objects that can be captured in focus by the camera. This region is characterized by a near distance and a far distance from the camera. The system then identifies a point within this region that is closest to the camera's current focus point, ensuring that the second target object is captured with optimal focus while minimizing adjustments to the camera's focus settings. This approach improves the efficiency and accuracy of focus control in dynamic imaging environments.
12. The non-transitory computer-readable storage medium of claim 10 , causing the system to: for a target object: create a first distance, a second distance, and an exact distance, wherein the first distance and the second distance indicate region within which a focus point of the camera can lie and have the target object in focus, wherein the exact distance indicates a distance between the current focus point of the camera and the target object; and update which of the first distance, the second distance, and the exact distance are closest to the current focus point of the camera.
This invention relates to camera focusing systems, specifically improving autofocus accuracy by dynamically tracking multiple distance measurements for a target object. The problem addressed is the challenge of maintaining precise focus on a moving or dynamically changing target, where traditional autofocus methods may struggle due to limitations in distance estimation or focus point adjustments. The system calculates three distinct distance values for the target object: a first distance and a second distance, which define a range where the target can be in focus, and an exact distance, representing the precise separation between the camera's current focus point and the target. These distances are continuously updated to reflect real-time changes in the target's position or the camera's focus. The system then determines which of these three distances is closest to the current focus point, allowing the camera to prioritize the most relevant measurement for focus adjustments. This approach enhances autofocus performance by providing a more robust and adaptive focusing mechanism, particularly in scenarios with rapid target movement or complex lighting conditions. The method ensures that the camera maintains optimal focus by dynamically selecting the most accurate distance measurement from the available options.
13. The non-transitory computer-readable storage medium of claim 10 , causing the system to: obtain an indication of a physical camera lens; retrieve the nonlinear function representing focus behavior of the physical camera lens; and use the nonlinear function to change the focus of the camera.
This invention relates to digital imaging systems that adjust camera focus using a nonlinear function representing the focus behavior of a physical camera lens. The problem addressed is the difficulty in accurately controlling focus in digital cameras due to the nonlinear relationship between lens adjustments and focal distance. Traditional systems often rely on linear approximations, leading to imprecise focusing, especially in high-precision applications. The system includes a non-transitory computer-readable storage medium storing instructions that, when executed, cause a computing device to obtain an indication of a specific physical camera lens. The system then retrieves a predefined nonlinear function that models the focus behavior of that lens, accounting for its unique mechanical and optical characteristics. Using this function, the system dynamically adjusts the camera's focus by applying the nonlinear function to input parameters, such as desired focal distance or lens position, to achieve precise focus control. This approach ensures accurate focusing by compensating for the lens's inherent nonlinearities, improving image quality in applications requiring high precision, such as microscopy, industrial inspection, or professional photography. The system may also include calibration processes to generate or refine the nonlinear function based on empirical data from the lens.
14. The non-transitory computer-readable storage medium of claim 10 , causing the system to: receive an input indicating a magnitude of contribution of the point to changing the focus of the camera, wherein the magnitude can indicate to partially use the point; and change the focus of the camera between the first target object and the second target object by changing the focus of the camera from the current focus point to the point associated with the second target object, based on the nonlinear function and the magnitude.
This invention relates to camera focus control systems, specifically methods for dynamically adjusting camera focus between multiple target objects. The problem addressed is the need for precise, nonlinear focus transitions that allow partial contributions of intermediate points to influence the focus shift, enabling smoother and more controlled transitions between objects. The system receives an input specifying the magnitude of contribution a selected point has in altering the camera's focus. This magnitude determines how much the point influences the focus transition, allowing partial usage of the point rather than an all-or-nothing approach. The focus is then adjusted from the current focus point to a point associated with a second target object, using a nonlinear function to govern the transition. This nonlinear function ensures that the focus shift is not linear, providing more natural and customizable focus adjustments. The system also includes a method for determining a focus point for a target object by analyzing image data to identify the target object and then selecting a focus point based on the target object's position. Additionally, the system can adjust focus between multiple target objects by determining a focus point for each and applying a nonlinear function to transition focus between them. The nonlinear function allows for smooth, controlled focus shifts that can be influenced by intermediate points, improving the quality of focus transitions in dynamic scenes.
15. The non-transitory computer-readable storage medium of claim 10 , causing the system to: receive a user input indicating a magnitude of contribution of the nonlinear function to changing the focus of the camera, wherein the magnitude can indicate to partially use the nonlinear function; and change the focus of the camera between the first target object and the second target object by changing the focus of the camera from the current focus point to the point associated with the second target object based on the magnitude of contribution of the nonlinear function.
This invention relates to camera focus control systems that use nonlinear functions to adjust focus between multiple target objects. The problem addressed is the need for precise, user-adjustable control over how nonlinear functions influence focus transitions, allowing partial application of the nonlinear function rather than an all-or-nothing approach. The system includes a camera with focus adjustment capabilities and a processor executing instructions stored on a non-transitory computer-readable medium. The instructions enable the system to receive user input specifying the magnitude of contribution from a nonlinear function in determining the focus transition path between two target objects. The nonlinear function modifies the focus trajectory, potentially creating smoother or more dynamic transitions. The user can adjust this contribution to partially apply the nonlinear function, blending it with linear focus adjustments. The system then changes the camera's focus from the current point to the second target object's associated point, incorporating the specified magnitude of the nonlinear function's influence. This allows users to fine-tune the focus behavior based on preferences or scene requirements, ensuring optimal visual effects while maintaining control over the transition dynamics. The invention improves upon prior systems by providing adjustable nonlinear focus control, enhancing flexibility in camera automation.
16. The non-transitory computer-readable storage medium of claim 10 , wherein the nonlinear function comprises an indication of an animation associated with the second manner of focus transition between the first target object and the second target object.
This invention relates to computer graphics and animation, specifically improving focus transitions between objects in a graphical user interface (GUI). The problem addressed is the lack of dynamic, visually engaging transitions when shifting focus between interactive elements, which can lead to a less intuitive or less appealing user experience. The invention involves a non-transitory computer-readable storage medium storing instructions that, when executed, cause a computing device to perform a method for animating focus transitions. The method includes applying a nonlinear function to determine a transition path between a first target object and a second target object in a GUI. The nonlinear function incorporates an animation that defines how the focus transition occurs between the two objects. This animation can include visual effects such as easing, scaling, or other dynamic behaviors that enhance the user experience by making the transition more fluid and visually appealing. The method may also involve adjusting the transition path based on user input or system conditions to ensure smooth and contextually appropriate focus shifts. The animation associated with the nonlinear function ensures that the transition is not just functional but also aesthetically pleasing, improving user engagement and interaction efficiency.
17. The non-transitory computer-readable storage medium of claim 10 , causing the system to: obtain the nonlinear function substantially inversely proportional to a distance between the camera and the current focus point and indicating the second manner of focus transition between the first target object and the second target object.
This invention relates to computer vision and focus control systems for cameras, addressing the challenge of smoothly transitioning focus between multiple objects in a scene. The system uses a nonlinear function to determine focus transitions based on the distance between the camera and the current focus point. The function is substantially inversely proportional to this distance, meaning closer objects receive more aggressive focus adjustments while distant objects undergo smoother transitions. This approach ensures that focus changes appear natural and visually pleasing, avoiding abrupt shifts that can disrupt the viewing experience. The system dynamically calculates the focus transition manner between a first target object and a second target object, optimizing for both speed and smoothness. The nonlinear function helps maintain consistent focus quality regardless of object proximity, improving user experience in applications like video recording, photography, or augmented reality. The invention leverages computational techniques to analyze scene depth and adjust focus parameters in real time, enhancing the adaptability of camera systems in varying environments.
18. The non-transitory computer-readable storage medium of claim 10 , causing the system to: obtain the nonlinear function substantially inversely proportional to a square root of a distance between the camera and the current focus point and indicating the second manner of focus transition between the first target object and the second target object.
This invention relates to computer vision systems for focus transition in imaging devices, particularly addressing the challenge of smoothly adjusting focus between multiple target objects in a scene. The system uses a nonlinear function to determine the manner of focus transition, where the function is substantially inversely proportional to the square root of the distance between the camera and the current focus point. This function ensures that the focus transition between a first target object and a second target object is dynamically adjusted based on spatial relationships, improving visual continuity and user experience. The system may also include a camera module for capturing images, a processing unit for analyzing the scene, and a focus control mechanism for adjusting the lens position. The nonlinear function is applied to calculate the focus transition speed or path, ensuring that transitions appear natural and responsive to the scene's depth variations. This approach enhances focus accuracy and reduces abrupt changes, making it suitable for applications like surveillance, robotics, and augmented reality. The invention optimizes focus adjustments by leveraging geometric relationships between objects and the camera, providing a more adaptive and efficient focusing mechanism.
19. A system comprising: at least one hardware processor; and at least one non-transitory memory storing instructions, which, when executed by the at least one hardware processor, cause the system to: obtain an indication of a first target object and a second target object, an indication of a first manner of focus transition between the first target object and the second target object, and a camera setting, wherein the camera is configured to transition a focus of the camera from the first target object to the second target object, and wherein the camera setting includes a current focus point of the camera; determine a point associated with the second target object, wherein the point has a property that focusing the camera on the point causes the second target object to be in focus, wherein the point associated with the second target object is closer to the current focus point of the camera than a majority of other points having the property; obtain a nonlinear function indicating a second manner of focus transition between the first target object and the second target object; and change the focus of the camera between the first target object and the second target object by changing the focus of the camera from the current focus point to the point based on the nonlinear function.
This system relates to camera focus control, specifically improving focus transitions between multiple target objects. The problem addressed is the need for smooth, efficient focus transitions in scenarios where a camera must shift focus between two objects, such as in photography or videography. Traditional methods may result in abrupt or inefficient focus changes, particularly when objects are at significantly different distances. The system includes a processor and memory storing instructions to execute several functions. It obtains indications of two target objects, a predefined manner of focus transition between them, and a camera setting including the current focus point. The system then determines a specific point associated with the second target object that, when focused on, ensures the second object is in focus. This point is selected to be closer to the current focus point than most other valid focus points, minimizing the distance the focus must travel. Additionally, the system retrieves a nonlinear function that defines an alternative manner of focus transition between the objects. Finally, the system adjusts the camera's focus from the current point to the selected point using the nonlinear function, enabling a smoother and more controlled transition. This approach optimizes focus changes by reducing unnecessary movement and leveraging nonlinear functions for more natural transitions.
20. The system of claim 19 , the instructions to determine the point associated with the second target object comprising the instructions to: determine a region of acceptable focus associated with the second target object, wherein the region of acceptable focus is a region between a nearest object and a farthest object that are within an acceptable focus in an image formed by the camera, wherein the region of acceptable focus indicates a near distance to the camera and a far distance to the camera, wherein when a focus point of the camera is between the near distance and the far distance, an object located between the near distance and the far distance is in focus; and determine the point between the near distance and the far distance substantially closest to the current focus point of the camera.
This invention relates to an imaging system that optimizes focus adjustment for capturing images of multiple target objects. The system addresses the challenge of maintaining sharp focus on multiple objects at varying distances from the camera, ensuring that all relevant objects within a scene are captured with acceptable clarity. The system includes a camera and a processor executing instructions to determine focus points for target objects. For a second target object, the system calculates a region of acceptable focus, which defines a range between the nearest and farthest objects that can be captured in focus by the camera. This region is characterized by a near distance and a far distance, where any object within this range will be in focus when the camera's focus point is set between these two distances. The system then selects a focus point within this region that is closest to the camera's current focus position, minimizing adjustment time and ensuring efficient focus transitions. This approach improves image quality by dynamically adapting focus settings to multiple objects while reducing computational and mechanical delays associated with focus adjustments.
21. The system of claim 19 , comprising the instructions to: for a target object: create a first distance, a second distance, and an exact distance, wherein the first distance and the second distance indicate region within which a focus point of the camera can lie and have the target object in focus, wherein the exact distance indicates a distance between the current focus point of the camera and the target object; and update which of the first distance, the second distance, and the exact distance are closest to the current focus point of the camera.
This invention relates to camera focusing systems, specifically improving autofocus accuracy by dynamically tracking multiple distance measurements for a target object. The problem addressed is the challenge of maintaining precise focus on moving objects, where traditional autofocus systems may struggle due to lag or inaccurate distance calculations. The system creates three distinct distance measurements for a target object: a first distance, a second distance, and an exact distance. The first and second distances define a region where the camera's focus point can lie while keeping the target object in focus, accounting for potential variations in depth perception or movement. The exact distance represents the precise measurement between the camera's current focus point and the target object. The system continuously updates which of these three distances is closest to the current focus point, allowing the camera to dynamically adjust focus based on real-time conditions. This approach enhances autofocus performance by providing multiple reference points, reducing the likelihood of focus errors when tracking objects in motion. The system may also include additional features such as adjusting focus based on environmental factors or user preferences, further optimizing image clarity.
22. The system of claim 19 , comprising the instructions to: obtain an indication of a physical camera lens; retrieve the nonlinear function representing focus behavior of the physical camera lens; and use the nonlinear function to change the focus of the camera.
A system for digital camera focus control addresses the challenge of accurately simulating the nonlinear focus behavior of physical camera lenses in digital imaging systems. Traditional digital cameras often struggle to replicate the precise focus characteristics of high-quality optical lenses, leading to inaccuracies in depth perception and image sharpness. This system improves focus control by dynamically adjusting focus parameters based on the specific nonlinear behavior of a given physical lens. The system includes a processor and memory storing instructions that, when executed, perform several key functions. First, the system obtains an indication of a specific physical camera lens being used, which may include identifying lens model, focal length, or other relevant parameters. Next, the system retrieves a predefined nonlinear function that mathematically represents the focus behavior of the identified lens. This function accounts for variations in focus response across different focal lengths and distances. Finally, the system applies the nonlinear function to adjust the camera's focus settings in real-time, ensuring that the digital focus mechanism accurately mimics the physical lens's behavior. This approach enhances image quality by maintaining consistent focus performance across various shooting conditions.
23. The system of claim 19 , comprising the instructions to: receive an input indicating a magnitude of contribution of the point to changing the focus of the camera, wherein the magnitude can indicate to partially use the point; and change the focus of the camera between the first target object and the second target object by changing the focus of the camera from the current focus point to the point associated with the second target object, based on the nonlinear function and the magnitude.
This invention relates to camera focus control systems, specifically for adjusting focus between multiple target objects in a nonlinear manner. The problem addressed is the need for precise, flexible focus transitions in imaging systems, particularly when multiple objects require selective focus adjustments. The system includes a camera with focus control mechanisms and a processor executing instructions to manage focus transitions. The processor receives an input indicating a magnitude of contribution of a selected point to changing the camera's focus. This magnitude determines how much the point influences the focus shift, allowing partial or full focus adjustments. The system then changes the camera's focus from a current focus point to a point associated with a second target object, using a nonlinear function and the magnitude input. The nonlinear function ensures smooth, controlled transitions between focus points, accommodating varying degrees of focus contribution. This approach enables dynamic focus adjustments tailored to specific imaging requirements, improving precision and adaptability in focus control. The system may also include additional instructions to determine focus points based on object detection, ensuring accurate targeting of objects within the camera's field of view. The overall solution enhances focus control in imaging applications, particularly where multiple objects require selective and precise focus adjustments.
24. The system of claim 19 , comprising the instructions to: receive a user input indicating a magnitude of contribution of the nonlinear function to changing the focus of the camera, wherein the magnitude can indicate to partially use the nonlinear function; and change the focus of the camera between the first target object and the second target object by changing the focus of the camera from the current focus point to the point associated with the second target object based on the magnitude of contribution of the nonlinear function.
This invention relates to camera systems with adaptive focusing mechanisms, particularly for adjusting focus between multiple target objects using a nonlinear function. The problem addressed is the need for precise and customizable focus transitions in camera systems, allowing users to control how nonlinear functions influence focus changes. The system includes a camera with focusing capabilities and a processor executing instructions to manage focus adjustments. The processor receives user input specifying the magnitude of contribution from a nonlinear function in determining the focus transition path. This magnitude can be set to partially utilize the nonlinear function, enabling fine-tuned control over how the focus shifts between a first and second target object. The system then adjusts the camera's focus from the current focus point to the point associated with the second target object, incorporating the nonlinear function's influence based on the specified magnitude. This allows for smooth, customizable focus transitions that can be tailored to different applications, such as cinematography or photography, where precise focus control is critical. The nonlinear function may modify the focus path to avoid abrupt changes or to emphasize certain focus points, enhancing the overall visual effect.
25. The system of claim 19 , wherein the nonlinear function comprises an indication of an animation associated with the second manner of focus transition between the first target object and the second target object.
This invention relates to a graphical user interface system that enhances focus transitions between objects in a display. The system addresses the problem of static or overly simplistic focus transitions, which can be visually unappealing or fail to effectively guide user attention. The invention improves upon prior art by incorporating nonlinear functions to control focus transitions, making them more dynamic and engaging. The system includes a display that presents a first target object and a second target object. A focus transition mechanism shifts focus from the first object to the second object using a nonlinear function. This function introduces variations in the transition path, speed, or style, such as animations, to create a more fluid and visually interesting effect. The nonlinear function can be adjusted based on user preferences, application context, or system performance to optimize the transition experience. The system may also include additional features, such as dynamic adjustments to the transition based on object properties (e.g., size, position, or importance) or user interactions (e.g., touch gestures or mouse movements). The nonlinear function can be implemented using mathematical models, predefined animation sequences, or real-time computations to ensure smooth and responsive transitions. This approach enhances user engagement and reduces cognitive load by providing clear, visually appealing focus shifts.
26. The system of claim 19 , comprising the instructions to: obtain the nonlinear function substantially inversely proportional to a distance between the camera and the current focus point and indicating the second manner of focus transition between the first target object and the second target object.
This invention relates to a camera system that dynamically adjusts focus transitions between objects based on their distance from the camera. The system addresses the problem of unnatural or abrupt focus shifts in imaging devices, particularly when transitioning between multiple objects at varying distances. The system includes a processor and memory storing instructions to determine a nonlinear function that is inversely proportional to the distance between the camera and a current focus point. This function dictates the manner of focus transition between a first target object and a second target object, ensuring smooth and contextually appropriate focus adjustments. The system may also include instructions to detect the objects, calculate their distances, and apply the nonlinear function to modify the focus transition speed or path. The nonlinear relationship ensures that focus changes appear more natural, especially when objects are at significantly different distances, improving visual continuity in captured or displayed images. The system may further integrate with other focus control mechanisms, such as autofocus algorithms, to enhance overall imaging performance.
27. The system of claim 19 , comprising the instructions to: obtain the nonlinear function substantially inversely proportional to a square root of a distance between the camera and the current focus point and indicating the second manner of focus transition between the first target object and the second target object.
This invention relates to a camera system that dynamically adjusts focus transitions between objects based on their distance from the camera. The system addresses the problem of unnatural or abrupt focus shifts in imaging devices, particularly when transitioning between objects at varying distances. The solution involves a nonlinear function that inversely scales with the square root of the distance between the camera and the current focus point. This function determines the manner in which focus transitions occur between a first target object and a second target object, ensuring smoother and more visually pleasing focus adjustments. The system calculates the nonlinear function to optimize focus transitions, preventing abrupt changes that can disrupt the viewing experience. By incorporating this mathematical relationship, the camera system achieves adaptive focus control that aligns with human visual perception, improving the quality of captured or displayed images. The invention is particularly useful in applications requiring precise and natural focus transitions, such as cinematography, photography, and video surveillance. The nonlinear function ensures that focus adjustments are proportional to the relative distances of the objects, enhancing the overall visual coherence of the captured content.
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July 16, 2021
March 1, 2022
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